Putting the Voice of the Developer First: Lessons from Amazon
Leah Melvoin, creator of Amazon's Voice of the Developer Initiative, shares her insights on what truly drives engineering effectiveness.
Most engineering transformations stall because they skip stages. Here's the five-stage framework for building AI capability that compounds.
Most AI maturity metrics track usage, not impact. Here's the framework engineering leaders need to assess AI maturity across the full organizational system.
Enterprise AI capability building requires six organizational surfaces. Most strategies address one or two. Here's how to assess where yours stands.
How to avoid the key pitfalls from microservices in your AI adoption — and the lessons we learn on our way to maximizing gains from emerging tech.
Most AI coding initiatives fail to deliver ROI. Here are 12 tools that help engineering leaders transform throughout the SDLC.
AI CI/CD bottlenecks prevent most orgs from capturing efficiency gains. Learn why deployment stays flat even as velocity doubles — and what to fix first.
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Most engineering transformations stall because they skip stages. Here's the five-stage framework for building AI capability that compounds.
Most AI maturity metrics track usage, not impact. Here's the framework engineering leaders need to assess AI maturity across the full organizational system.
Enterprise AI capability building requires six organizational surfaces. Most strategies address one or two. Here's how to assess where yours stands.
How to avoid the key pitfalls from microservices in your AI adoption — and the lessons we learn on our way to maximizing gains from emerging tech.
Learn the five priorities and strategic decisions that turn your first 90 days into long-term success.
Learn how to diagnose engineering bottlenecks. This guide for leaders covers actionable steps, real-world examples, and a framework for driving change.
Uplevel's WAVE Framework guides our approach to organizational change in engineering. Learn about our key indicators for engineering capability.
Here's what the research from a study of 100+ engineering leaders at large orgs reveals about AI measurement.
AI tools aren't the magic fix for developer productivity. Learn how to maximize impact with fundamentals.
Leah Melvoin, creator of Amazon's Voice of the Developer Initiative, shares her insights on what truly drives engineering effectiveness.
Have you heard the good news? We just received $20 million in new funding. [Pause for applause.] With the industry facing tough economic times, it’s not lost ...
Learn about Uplevel's Chat Interruptions feature and how you can use it to support your organization from data scientist Anne Sallaska.
Deep work time is critical for software engineering teams. Here's how leaders can measure it to help their teams deliver on high-value projects.
With greater visibility into how your engineering teams allocate their time, you can create a culture of accountability across your entire organization.
Allocating time for KTLO in software engineering is a challenge for engineering leaders. Here are some techniques we've seen succeed at Uplevel.
DORA metrics are lagging indicators of delivery performance because they don't explain context. Here's why engineering leaders need a better view.
Learn how Francisco Trindade, VP of Engineering at Braze, approaches engineering leadership to help his team be effective and align with business goals.
Measuring developer productivity is hard within large engineering organizations. Here's why that is, and why a holistic approach is necessary.